13 of 13 DemandTrendPermanent Geospatial Data Jobs in London

Staff Data Scientist Salary: £110,000 - £130,000 Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future … data capabilities and have a measurable impact on business performance. The Role You'll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You'll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing … models that deliver direct commercial and customer value. This role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices. What You'll Do Build and deploy advanced geospatial and telematics models from the ground up Design data products that More ❯

Staff Data Scientist Salary: £110,000 - £130,000 Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future … data capabilities and have a measurable impact on business performance. The Role You'll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You'll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing … models that deliver direct commercial and customer value. This role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices. What You'll Do Build and deploy advanced geospatial and telematics models from the ground up Design data products that More ❯

the development and training of AI models, specifically in the areas of computer vision, sensor fusion, and autonomous navigation. The ideal candidate will be responsible for collecting high-quality data in real-world environments, contributing to the optimization of AI algorithms that power autonomous systems. As a Drone Pilot for AI & Autonomous Systems Training, you will operate advanced drones … to capture data essential for training and validating AI models that power autonomous navigation, object detection, and decision-making systems. Key Responsibilities: Pilot drones equipped with high-resolution cameras, LiDAR, thermal imaging, and other sensors to collect diverse datasets used for training AI algorithms, particularly for autonomous navigation, computer vision, and sensor fusion. Capture data in various real … world conditions (e.g., urban, rural, industrial, challenging weather conditions) to expose AI systems to a wide range of environments and scenarios. Execute complex drone missions with precise data collection objectives, such as aerial mapping, 3D reconstruction, obstacle detection, and object tracking. Collaborate closely with AI engineers, machine learning specialists, and autonomous systems teams to ensure data collection aligns More ❯

profile projects across the UK, Europe and the US? Are you passionate about delivering positive client outcomes? Want a role with constant opportunity for upskilling and progression? Then Murphy Geospatial is the company for you! About Us Murphy Geospatial is part of Woolpert, a premier architecture, engineering, geospatial (AEG) and consulting firm with over 2,000 employees … and over 60 offices on five continents. Woolpert is a Global Top 100 Geospatial Company, a Top 100 ENR Global Design firm and has earned seven Great Place to Work certifications. Murphy Geospatial captures, collates, verifies and governs geospatial data, enabling our clients to make informed decisions across the project lifecycle. Proven geospatial solutions through … Energy, Utilities, Property and Natural Environment. Founded in 1983, our highly developed workflows have been refined through the delivery of over 27,000 projects over 40 years. The Murphy Geospatial and Woolpert union enables numerous career growth and training opportunities within the business. The Opportunity: Murphy Geospatial is seeking an experienced UAV Manager to lead and develop our More ❯

New Role: Data Science Engineer (LLM Focus) Salary: £55,000-£75,000 + share options Hybrid/Remote: Flexible but with regular London meetings? Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on NLP pipelines and data at scale. This is a great opportunity for … someone passionate about impactful data work and modern AI tools. What We're Looking For: 1+ years' experience in data science or engineering.? Strong Python skills and experience with LLMs/NLP.? Experience building scalable data pipelines.? Bonus: GCP, Docker, geospatial data, Postgres/PostGIS If you're a hands-on data scientist/… from you. Interested? Apply now! Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website. More ❯

enterprises, delivering outstanding outcomes at the speed of relevance. What We Do: We are the Cities team. We build Digital Twins of Cities with a specific focus on providing data analytics not just of the city as-is, but - most importantly - what would happen as a result of a manipulation (answering the question "what if?") We do so by … components (including an application development kit, base models that come with the platform, tools to help modellers build models more quickly and tools to help store, manage and process data) and customised data and integrations. This is a fantastic opportunity for an individual who is early in their Data Science career or has recently completed a relevant … one or more of the following: human behavior modelling, crowd dynamics, social modelling, information dynamics, social media modelling, transport modelling, logistics modelling. Proficiency with Python is essential. Experience with geospatial data is a strong advantage. An understanding of agent-based modelling approaches. You have previously implemented models either by yourself or by closely collaborating with engineers You have More ❯

AppyWay AppyWay helps cities reduce carbon emissions by making it easier to manage and find parking. The company started with a simple parking app called AppyParking because street parking data wasn't easy to access or understand. This led them to create the largest database of standardized parking data in the UK. Our Traffic Suite platform empowers local … authorities with best-in-class kerbside data, APIs, and tools to manage traffic orders, parking, and street space more efficiently. Now, AppyWay's platform is used by cities across Europe and even in New York City. It provides parking maps, real-time availability, and cashless payment options to help drivers and delivery fleets find parking more efficiently. They've … shape the product vision, drive execution, and ensure our solutions deliver measurable impact for cities, transport authorities, and mobility operators. This role sits at the intersection of urban planning, geospatial technology, AI, and mobility innovation. You will collaborate with engineers, designers, commercial teams, and public sector stakeholders to build solutions that transform how cities manage traffic flows, kerbside assets More ❯

Strong communication channels between the Engineering team and the wider business. Implementation of value-add opportunities for clients through engineering quick wins and cross-utilisation of new capabilities and data sources. Development into a compelling Head of Engineering with direct line management responsibility Why us? AtNatureMetricsdiversity and inclusion are part of our DNA. Together, we continue to build an … What you'll bring We are looking for Proven experience leading and mentoring engineering teams in a high-growth, agile environment. Deep expertise in designing, building, and operating scalable, data-intensive applications on cloud platforms (AWS and/or GCP). Strong, hands-on, full-stack software development background. Demonstrable experience with the challenges of building scalable data-driven platforms. Expertise in modern data architecture, cloud infrastructure (IaC, Kubernetes, Serverless), and DevOps practices (CI/CD, observability). Excellent communicator who can articulate complex technical concepts clearly to both technical and non-technical stakeholders. A mission-driven individual with a genuine passion for NatureMetrics' mission. While not essential, the following experience would also be advantageous: Familiarity More ❯

a STEM subject or equivalent experience Exposure to Python or JavaScript/TypeScript frameworks (e.g. React) Curiosity and a willingness to learn new tools and technologies An interest in geospatial data or map-based applications is a bonus A natural problem-solver who enjoys working on meaningful projects The ideal candidate is someone who thrives on solving complex More ❯

looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and … Key Responsibilities Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re … Looking For Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced More ❯

looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and … Key Responsibilities Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re … Looking For Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced More ❯

shape the future of real estate technology. Role Responsibilities Architect, build, and optimise scalable ETL pipelines for diverse datasets. Onboard, document, and curate external datasets for internal use. Perform data validation, forensic analysis, and troubleshooting. Deliver high-quality, maintainable Python code and participate in peer reviews. Collaborate with stakeholders and researchers to support analytics and product development. Integrate data from APIs, S3 buckets, and structured/unstructured sources (JSON, CSV, Excel, PDF, Parquet). Join geospatial datasets with external data sources and apply complex transformations. Define validated data schemas and create clear documentation for partners and teams. Explore and evaluate new data engineering tools and technologies. Role Requirements 5+ years' experience in data engineering, analytics, or related roles. Strong proficiency in Python, with demonstrated experience on large-scale projects. Solid understanding of algorithms, data structures, and relational databases. Experience with test-driven development and Git version control. Portfolio of past work (GitHub contributions, open-source, blogs, or demos). Knowledge of data cleansing, validation, and basic statistics. Background in working More ❯

shape the future of real estate technology. Role Responsibilities Architect, build, and optimise scalable ETL pipelines for diverse datasets. Onboard, document, and curate external datasets for internal use. Perform data validation, forensic analysis, and troubleshooting. Deliver high-quality, maintainable Python code and participate in peer reviews. Collaborate with stakeholders and researchers to support analytics and product development. Integrate data from APIs, S3 buckets, and structured/unstructured sources (JSON, CSV, Excel, PDF, Parquet). Join geospatial datasets with external data sources and apply complex transformations. Define validated data schemas and create clear documentation for partners and teams. Explore and evaluate new data engineering tools and technologies. Role Requirements 5+ years' experience in data engineering, analytics, or related roles. Strong proficiency in Python, with demonstrated experience on large-scale projects. Solid understanding of algorithms, data structures, and relational databases. Experience with test-driven development and Git version control. Portfolio of past work (GitHub contributions, open-source, blogs, or demos). Knowledge of data cleansing, validation, and basic statistics. Background in working More ❯